def upload_file():
if request.method == 'POST':
# check if the post request has the file part
if 'file' not in request.files:
return "Incomplete Request"
file = request.files['file']
print(file)
file.filename = request.form['name'].replace(".", "") + '.py'
# if user does not select file, browser also
# submit an empty part without filename
if file.filename == '':
return 'No selected file'
scores = 1
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(UPLOAD_FOLDER[:2], filename))
try:
nen = {i:globals()[i] for i in globals()}
exec('from ' + filename[:-3] + ' import *', globals())
print("executing...", "[", request.form['name'], "]")
nan = {i:globals()[i] for i in globals()}
non = set(nan) - set(nen)
for i in non:
print(["importing..."], i, globals()[i])
score = {}
tests = os.listdir(UPLOAD_FOLDER)
print(12)
for i in tests:
if allowed_file(i):
print(i)
score[i] = str(otter.Notebook(UPLOAD_FOLDER[2:]).check(i.split('.')[0]))
print(13)
files = []
for i in score:
print(i)
print(score[i])
if 'All tests passed!' in score[i]:
files.append(i)
scores = 0
for i in files:
print(i)
with open(UPLOAD_FOLDER + '/' + i) as f:
a = f.read()
if '"points":' in a:
b = a.split('\n')[2]
c = b.split(":")[1]
d = c.replace(",", "")
scores += int(d)
print(d)
exec('import ' + filename[:-3] + ' as ma', globals())
for name, data in inspect.getmembers(ma):
if name.startswith('_'):
continue
if name in globals():
print(["2"], name, ['deleting...'])
del globals()[name]
if ma in globals(): del globals()[ma]
for i in globals():
if str(i) in non and str(i) not in nen:
print(["2"], i, ["deleting..."])
del globals()[i]
with open(os.path.join(UPLOAD_FOLDER[:2], filename), "r") as f:
s = f.read()
if "import" in s:
return jsonify({"name":request.form['name'], "score":-15})
print(s)
f.close()
os.remove(os.path.join(UPLOAD_FOLDER[:2], filename))
if scores == 0: scores = 1
return jsonify({"name":request.form['name'], "score":scores})
except Exception as e:
exec('import ' + filename[:-3] + ' as ma', globals())
for name, data in inspect.getmembers(ma):
if name.startswith('_'):
continue
if name in globals():
print(name, ['deleting...'])
del globals()[name]
if ma in globals(): del globals()[ma]
for i in globals():
if str(i) in non and str(i) not in nen:
print(["2"], i, ["deleting..."])
del globals()[i]
with open(os.path.join(UPLOAD_FOLDER[:2], filename), "r") as f:
s = f.read()
if "import" in s:
return jsonify({"name":request.form['name'], "score":-15})
print(s)
f.close()
os.remove(os.path.join(UPLOAD_FOLDER[:2], filename))
print(e)
scores = 1
return jsonify({"name":request.form['name'], "score":scores})
return "Oops! an error occured."
return '''
On the Cluster data, perform a 50/50 train test split with `random state` equal to 99. Predict `y` with all variables using regression analysis. 3a. Calculate the r2 for train and assign to `cluster1_r2_train`. 3b. calculate the r2 for test and assign to `cluster1_r2_test`. ### KMeans Cluster Analysis Next perform a cluster analysis using ONLY variables that start with `cad0`-`cad9` and specify 6 clusters. Set random_state to `99` for KMEANS algorithm. Add the variable `df_cluster['cluster']` to the origional dataframe to indicate the cluster membership. ### 4. Clusters Continued Then select only rows from df_clusterwhich you have assigned to cluster 1. For only cluster 1 predict `y` with all variables using regression analysis. 4a. Calculate the r2 for train and assign to `cluster2_r2_train`. 4b. calculate the r2 for test and assign to `cluster2_r2_test`. Like before set random_state to `99`. #This runs all tests. import otter grader = otter.Notebook() grader.check_all()
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import matplotlib.pyplot as plt
import numpy as np
# get_ipython().run_line_magic('matplotlib', 'inline')
import otter
grader = otter.Notebook("../tests")
# **Question 1:** Write a function `square` that squares its argument.
# In[2]:
def square(x):
return x**3
# In[3]:
grader.check("q1")
# **Question 2:** Write a function `negate` that negates its argument.
# In[4]: